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Information Seminar Paper

Title

EVALUATION OF SUPPORT VECTOR MACHINES IN UPPER LIMB MOTION CLASSIFICATION USING MYOELECTRIC SIGNAL

Pages

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Abstract

 THIS PAPER EVALUATES THE SUPPORT VECTOR MACHINE (SVM) APPLIED TO UPPER LIMB MOTION CLASSIFICATION USING MYOELECTRIC SIGNALS. THE MAIN PURPOSE OF THIS PAPER IS TO COMPARE SVM-BASED CLASSIFIERS WITH LDA AND MLP. SVM DEMONSTRATES EXCEPTIONAL CLASSIFICATION ACCURACY AND RESULTS IN A ROBUST WAY OF LIMB MOTION CLASSIFICATION WITH LOW COMPUTATIONAL COST. THE VALIDITY OF ENTROPY, AS AN INDEX TO MEASURE CORRECTNESS OF CLASSIFICATION, IS ALSO EXAMINED. EXPERIMENTAL RESULTS SHOW THAT ENTROPY IS A RELIABLE MEASURE FOR ONLINE TRAINING IN MYOELECTRIC CONTROL SYSTEMS.

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  • Cite

    APA: Copy

    ASGHARI OSKOEI, MOHAMMAD REZA, & HU, HUOSHENG. (2008). EVALUATION OF SUPPORT VECTOR MACHINES IN UPPER LIMB MOTION CLASSIFICATION USING MYOELECTRIC SIGNAL. IRANIAN CONFERENCE ON BIOMEDICAL ENGINEERING. SID. https://sid.ir/paper/906438/en

    Vancouver: Copy

    ASGHARI OSKOEI MOHAMMAD REZA, HU HUOSHENG. EVALUATION OF SUPPORT VECTOR MACHINES IN UPPER LIMB MOTION CLASSIFICATION USING MYOELECTRIC SIGNAL. 2008. Available from: https://sid.ir/paper/906438/en

    IEEE: Copy

    MOHAMMAD REZA ASGHARI OSKOEI, and HUOSHENG HU, “EVALUATION OF SUPPORT VECTOR MACHINES IN UPPER LIMB MOTION CLASSIFICATION USING MYOELECTRIC SIGNAL,” presented at the IRANIAN CONFERENCE ON BIOMEDICAL ENGINEERING. 2008, [Online]. Available: https://sid.ir/paper/906438/en

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